Tensor Toolbox for MATLAB v. 3.0

RESOURCE

Abstract

Tensors (also known as multidimensional arrays or N-way arrays) are used in a variety of applications ranging from chemometrics to network analysis. The Tensor Toolbox provides classes for manipulating dense, sparse, and structured tensors using MATLAB's object-oriented features. It also provides algorithms for tensor decomposition and factorization, algorithms for computing tensor eigenvalues, and methods for visualization of results.
Developers:
Kolda, Tamara [1] Bader, Brett [1] Acar Ataman, Evrim NMN [1] Dunlavy, Daniel [1] Bassett, Robert [1] Battaglino, Casey [1] Plantenga, Todd [1] Chi, Eric [1] Hansen, Samantha [1]
  1. Sandia National Laboratories
Release Date:
2017-03-07
Project Type:
Open Source, Publicly Available Repository
Software Type:
Scientific
Programming Languages:
MATLAB
XSLT
C
Version:
3.0
Licenses:
BSD 2-clause "Simplified" License
Sponsoring Org.:
Code ID:
45330
Site Accession Number:
SCR #926.1; 7422
Research Org.:
Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
Country of Origin:
United States

RESOURCE

Citation Formats

Kolda, Tamara, Bader, Brett W., Acar Ataman, Evrim NMN, Dunlavy, Daniel, Bassett, Robert, Battaglino, Casey J., Plantenga, Todd, Chi, Eric, and Hansen, Samantha. Tensor Toolbox for MATLAB v. 3.0. Computer Software. https://github.com/sandialabs/tensor_toolbox. USDOE. 07 Mar. 2017. Web. doi:10.11578/dc.20201001.24.
Kolda, Tamara, Bader, Brett W., Acar Ataman, Evrim NMN, Dunlavy, Daniel, Bassett, Robert, Battaglino, Casey J., Plantenga, Todd, Chi, Eric, & Hansen, Samantha. (2017, March 07). Tensor Toolbox for MATLAB v. 3.0. [Computer software]. https://github.com/sandialabs/tensor_toolbox. https://doi.org/10.11578/dc.20201001.24.
Kolda, Tamara, Bader, Brett W., Acar Ataman, Evrim NMN, Dunlavy, Daniel, Bassett, Robert, Battaglino, Casey J., Plantenga, Todd, Chi, Eric, and Hansen, Samantha. "Tensor Toolbox for MATLAB v. 3.0." Computer software. March 07, 2017. https://github.com/sandialabs/tensor_toolbox. https://doi.org/10.11578/dc.20201001.24.
@misc{ doecode_45330,
title = {Tensor Toolbox for MATLAB v. 3.0},
author = {Kolda, Tamara and Bader, Brett W. and Acar Ataman, Evrim NMN and Dunlavy, Daniel and Bassett, Robert and Battaglino, Casey J. and Plantenga, Todd and Chi, Eric and Hansen, Samantha},
abstractNote = {Tensors (also known as multidimensional arrays or N-way arrays) are used in a variety of applications ranging from chemometrics to network analysis. The Tensor Toolbox provides classes for manipulating dense, sparse, and structured tensors using MATLAB's object-oriented features. It also provides algorithms for tensor decomposition and factorization, algorithms for computing tensor eigenvalues, and methods for visualization of results.},
doi = {10.11578/dc.20201001.24},
url = {https://doi.org/10.11578/dc.20201001.24},
howpublished = {[Computer Software] \url{https://doi.org/10.11578/dc.20201001.24}},
year = {2017},
month = {mar}
}